This paper examines the properties of Moran's I test for spatial error autocorrelation when endogenous variables are included in the regression specification and estimation is carried out by means of instrumental variables procedures (such as two-stage least squares). The asymptotic distribution...

We argue that there are serious biases in public infrastructure productivity estimates which are based on a production function, or a cost function framework. These biases arise because public infrastructure has important effects on the demands, as well as prices of the factors of production. In...

Time series regression models that have autoregressive errors are often estimated by two-stage procedures which are based on the Cochrane-Orcutt (1949) transformation. It seems natural to also attempt the estimation of spatial regression models whose error terms are autoregressive in terms of an...